Aerospace & defense optimization

Advanced algorithms for demanding operations

4colors plans around scarce expertise, equipment and tight timing in aerospace and defense. Its algorithms search the coupled constraints together.

Winner of the Airbus x BMW challenge, with an Airbus proof of concept and a Dstl contract.

Read selected case studiesDiscuss a challenge

Availability is not the same as feasibility

An aircraft may have a maintenance slot and an available hangar, yet still lack the qualified inspector or replacement component needed to begin. A production line may meet its local target while another facility waits for deliveries.

In aerospace operations, a workable plan must bring the right resources together at the right moment. Finding a stronger one means evaluating the consequences of many connected choices.

Eight pallets for one aircraft. Weight placement decides the balance.

Payload carried15.2 t

Centre of gravityOut of limits

Illustrative example, not customer data.

Four aircraft, one week: every jet needs its check without losing flights.

Flights lost5

Checks completed7 of 7

Illustrative example, not customer data.

Where availability and mission priorities collide

  • Maintenance and resource scheduling

    Coordinate task dependencies, qualifications, equipment, facilities and narrow operating windows. Explore feasible sequences and alternatives when priorities or resource availability change.

  • Production and industrial logistics

    Align manufacturing and transport commitments across facilities. Better coordination can reduce avoidable handling, late deliveries and the cost of planning each operation separately.

  • Complex computational problems

    Large network and data problems call for algorithms matched to their mathematical structure and scale. We model routing, assignment and configuration choices and search them systematically.

Algorithms and expertise

From the solver engine to ready-made planning apps, pick the level that suits your team.

  • | Winner, Quantum-Powered Logistics

    Airbus x BMW Quantum Computing Challenge

    Integrated production and transportation optimization with advanced classical algorithms and quantum routines.

  • Airbus · ORCA Computing

    Aircraft loading on quantum hardware

    Hybrid aircraft-loading algorithms tested on gate-based and photonic hardware.

    Read the case study

  • Airbus

    Quantum approaches for aerospace planning

    Integrated optimization taken from a competition challenge toward industrial planning scenarios.

    Read the case study

  • Best known

    RG300 project scheduling benchmark

    4colors Optimizer established best-known schedules on 113 of 480 projects in a public project-scheduling benchmark.

    Read the RG300 story

Our work also includes a UK defense research contract developing scalable analytics algorithms for large networks.